For the Inventor, By the Inventor

Enter assignee name

Raleigh, NC, United States of America

Diveplane Corporation

USPTO Granted Patents = 36

EPO Patents = 1

Trademarks = 5

Forward Citations = 121

Loading Chart...

Loading Chart...

14 inventors (with patents filed for the assignee):

Christopher James Hazard (36 out of 51 patents)

Michael Resnick (21 out of 27 patents)

Christopher Fusting (12 out of 16 patents)

4. Ravisutha Sakrepatna Srinivasamurthy (4 out of 6 patents)

5. David R Cheeseman (2 out of 3 patents)

6. Ju Hyun Kim (2 out of 2 patents)

7. Yamac Alican Isik (2 out of 2 patents)

8. Michael Vincent Capps (2 out of 3 patents)

9. Valeri A Korobov (1 out of 2 patents)

10. Martin James Koistinen (1 out of 2 patents)

11. Matthew Chase Fulp (1 out of 2 patents)

12. Jacob David Beel (1 out of 1 patent)

13. Yash Shah (1 out of 2 patents)

14. Michael Auerbach (1 out of 1 patent)

Core Competencies:

Automated Decisions

Synthetic Data Generation

Anomaly Detection

Explainability

Clustering

Evolutionary Programming

Operational Control

Data Inclusion

Model Reduction

Data Quality

Context Indications

Feature Analysis

36 patents: Sort by Forward Citations

1. 11941542 - Computer-based reasoning system for operational situation control of controllable systems (2024-03-26),

2. 11880775 - Entropy-based techniques for improved automated selection in computer-based reasoning systems (2024-01-23),

3. 11853900 - Evolutionary programming techniques utilizing context indications (2023-12-26),

4. 11829892 - Detecting and correcting anomalies in computer-based reasoning systems (2023-11-28),

5. 11823080 - Clustering, explainability, and automated decisions in computer-based reasoning systems (2023-11-21),

6. 11783211 - Synthetic data generation in computer-based reasoning systems (2023-10-10),

7. 11763176 - Search and query in computer-based reasoning systems (2023-09-19),

8. 11748635 - Detecting and correcting anomalies in computer-based reasoning systems (2023-09-05),

9. 11741382 - Explainable and automated decisions in computer-based reasoning systems (2023-08-29),

10. 11727286 - Identifier contribution allocation in synthetic data generation in computer-based reasoning systems (2023-08-15),

11. 11676069 - Synthetic data generation using anonymity preservation in computer-based reasoning systems (2023-06-13),

12. 11669769 - Conditioned synthetic data generation in computer-based reasoning systems (2023-06-06),

13. 11657294 - Evolutionary techniques for computer-based optimization and artificial intelligence systems (2023-05-23),

14. 11640561 - Dataset quality for synthetic data generation in computer-based reasoning systems (2023-05-02),

15. 11625625 - Synthetic data generation in computer-based reasoning systems (2023-04-11),

Company Overview

Diveplane Corporation, based in Raleigh, NC, specializes in advanced artificial intelligence solutions, focusing on explainable AI and data privacy. The company develops innovative technologies that enable organizations to harness the power of AI while ensuring transparency and compliance with data protection regulations. Diveplane's expertise spans various sectors, including finance, healthcare, and manufacturing, where it aims to enhance decision-making processes through its cutting-edge software and analytics tools.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

36 Patents

#20 in Raleigh, NC

#225 in North Carolina

#9,509 in US

#18,730 in the World

Raleigh, NC, United States of America

Diveplane Corporation

Forward Citations = 121

14 inventors:

Christopher James Hazard (36 out of 51 patents)

Michael Resnick (21 out of 27 patents)

Christopher Fusting (12 out of 16 patents)

4. Ravisutha Sakrepatna Srinivasamurthy (4 out of 6 patents)

5. David R Cheeseman (2 out of 3 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Diveplane Corporation. Retrieved from https://idiyas.com/company/diveplane

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

Loading…